Article

6min read

From Clicks to Connections: How AI is Shaping the Future of Digital Optimization

Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A/B testing. 

Building a great website is, unfortunately, not simply a matter of following best practices. Even within a single industry, users will hold varied expectations based on your brand, communication style, target audience, funnel, etc. And while browsing the same website, users’ expectations can vary, with some knowing exactly what they want and others needing to explore, check your returns policy, learn about your sustainability initiatives, and so on.

We have all heard the hype about how AI has been revolutionizing how marketers approach experimentation. Generative AI offers new opportunities for optimizing every aspect of the user journey, allowing marketers to:

  • streamline testing,
  • create new online experiences, 
  • and create new types of user segments for more precise personalized experiences that drive conversions.

This guest blog post was written by Rodolphe Dougoud, Project Lead at fifty-five—a leading data company that helps brands harness the potential of Generative AI and mitigate associated risks effectively with a comprehensive and pragmatic AI strategy, among other services. 

Below, we’ll explore these three perspectives in depth, with real-life examples gleaned from AB Tasty’s new algorithm, Emotions AI, and fifty-five’s work with its clients around GenAI. 

AI in Action for Experiences that Matter

  1. Streamline testing

When thinking about A/B testing, you might immediately picture creating an experiment and launching it live on a website. However, the most time-consuming phases of the A/B testing process generally come before and after that: finding new features to try out in order to create a testing roadmap and analyzing the results of these tests. Here, AI can increase test velocity by helping to reduce bottlenecks hindering both of the aforementioned stages.

Test ideation

Your roadmap must not only be top-down but also bottom-up: pay close attention to insights from your UX designers, based on benchmarks from your competitors and industry trends, and data-driven insights based on your own analytics data. Here, AI can facilitate the process by analyzing large datasets (e.g., on-site Analytics data) to find insights humans might have missed.

Result analysis

Similarly, it’s essential to analyze the results of your tests thoroughly. Looking at one KPI can sometimes be enough, but it often represents only one part of a bigger story. An aptly-calibrated AI model can find hidden insights within your testing results

While we generally know what data we want to access, the actual querying of that data can be time-consuming. Applying a GenAI model to your dataset can also allow you to query your data in natural language, letting the model pull the data for you, run the query, and create instant visualizations for major time gains.

Content creation

While not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.

  1. Create new online experiences

Marketers should not hesitate to experiment with AI to create unique and interactive experiences. Generative AI can create personalized content and recommendations that can engage users more effectively. 

Consider, for instance, fifty-five’s recent work with Chronodrive, a grocery shopping and delivery app. We used AI to address a common user challenge (and, frankly, near-universal issue): deciding what to make for dinner. 

With our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish – taken at a restaurant or even downloaded from social media – will generate a recipe for said dish and its associated shopping list. 

 Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive’s solution may not be applicable to most companies, but every business can think back on their typical user’s pain points and conceptualize how GenAI could help ease them.

  1. Create new types of user segments for more precise personalized experiences

When a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want… A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. 

Online, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.

AI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. This allowed Shiseido to run differentiated A/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.

Going even further, what if AI could read your emotions? AB Tasty’s new AI algorithm, Emotions AI, can automatically segment your audience into 10 categories based on emotional needs. 

  • If a user needs to be reassured, the website can emphasize its free return policy
  • If they need clarity, the website can highlight factual information about your product
  • And if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs

The model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. 

Want to Learn More?

If you would like to dive deeper into current experimentation trends, watch our webinar replay here, where fifty-five and AB Tasty explored key CRO case studies and more. And if you have any questions or insights you’d like to share, please leave a comment – we would love to hear from you! 

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Article

5min read

Tapping into Emotional Marketing | Talia Wolf

Talia Wolf reveals how emotional marketing can revolutionize your experimentation process and lift conversions.

Taking a customer-centric approach to marketing, founder and CEO of Getuplift, Talia Wolf, harnesses the power of emotional marketing techniques to increase visitor conversions. 

Her natural interest in conversion rate optimization (CRO) and experimentation was sparked through her early work in a social media agency, later moving on to become an expert in the field – consulting for many companies on the subject, and speaking on stage at Google, MozCon and Search Love.

Guest host and AB Tasty’s Head of Growth Marketing UK, John Hughes, spoke with Talia about emotional marketing as a tool for optimization, delving into how customer research can facilitate the experimentation process, reduce the rate of failure, and earn the buy-in from company stakeholders.

Here are some of the key takeaways from their conversation.

Based upon the idea that emotion drives every single decision that we make in life, the emotional targeting methodology shifts the focus of your online marketing content from your solution, features, or pricing, to your customer. Rather than playing a guessing game and simply reshuffling elements on a page, this technique requires a deeper understanding of human behavior. By identifying customer intent and buying motivation, you can create an optimized experience, which meets their needs and increases conversions.

Backed by academic research, the fundamental role of emotion in our daily choices can be integrated into your strategy to better cater to your customers by figuring out a) their biggest challenges and, b) how they want to feel after finding a solution. What is their desired outcome? 

With this in mind, you can optimize your digital communications with high-converting copy and visuals that speak directly to your customers’ needs. By shifting the conversation from the product to the customer, an incredible opportunity opens up to scale and multiply conversions.

Firstly, experimentation should be backed by research. From customer and visitor surveys, to review mining, social listening and emotional competitor analysis, Talia encourages extensive research in order to create the most likely hypothesis upon which to base an A/B test. 

Once you know more about your customers, you can review the copy and visuals on your product page for example, and from your research you might discover that your content is not relevant to your target customer. You can then come up with a hypothesis based on their actual needs and interests supported by compelling social proof, and write a brief for your designer or copywriter based on the new information. 

From there you can build your experiment into your A/B testing platform with a selected North star metric, whether it’s check-outs, sign-ups or add-to-carts, to prove or disprove your hypothesis. And, while we know that nine out of 10 A/B tests fail, emotional marketing facilitates the hypothesizing process, strengthening the chance of creating a winning experiment by testing variables that can actually impact the customer journey.

How to persuade stakeholders to support your experiments.

When it comes to CRO, there are often too many chefs in the kitchen, especially in smaller organizations where founders have a concrete vision of their customers and their messaging. 

Talia explains that a research-based approach to experimentation can offer reassurance as part of a slow-and-steady strategy, backed by evidence. This personalized methodology involves talking to your customers and website visitors and scouring the web for conversations about your specific industry, rather than simply following your competitor’s lead.

It becomes a lot easier to propose a test to a founder or CEO when your hypothesis is supported by data and research, however, Talia recommends resisting the urge to change everything at once and rather, start small. Test the emotional marketing in your ads or send out an email sequence requiring only a copywriter, and share the results.

When you’re trying to get buy-in, you need to have a strong hypothesis paired with good research to prove that it makes sense. If this is the case, you can demonstrate the power of emotional marketing by running a couple of A/B tests: one where the control is the current solution-focused content and the variant is a customer-focused alternative, and another which highlights how customers feel right now versus how they want to feel – two important variations which help you to relate better to your customer. The key to garnering support is to take baby steps and continuously share your research and results.

What else can you learn from our conversation with Talia Wolf?

  • Why B2B purchases are more emotional than B2C. (15:50)
  • How to stand out in a crowded market by knowing your customer. (20:00)
  • How emotional marketing impacts the entire customer journey. (25:50)
  • How to relate to your customer and improve conversions. (32:40)

About Talia Wolf

Conversion optimization specialist Talia Wolf is the founder and CEO of Getuplift – a company that leverages optimization strategies such as emotional targeting, persuasive design, and behavioral data to help businesses generate more revenue, leads, engagement and sales. 

Starting her career in a social media agency, where she was introduced to the concept of CRO, Talia went on to become the Marketing Director at monday.com, before launching her first conversion optimization agency, Conversioner, in 2013. 

Today, with her proven strategy in hand, Talia teaches companies all over the world to optimize their online presence using emotional techniques.

About 1,000 Experiments Club

The 1,000 Experiments Club is an AB Tasty-produced podcast hosted by Marylin Montoya, VP of Marketing at AB Tasty. Join Marylin and the Marketing team as they sit down with the most knowledgeable experts in the world of experimentation to uncover their insights on what it takes to build and run successful experimentation programs.